Application Window Open date: July 2, 2024 Next review date: Wednesday, Jul 17, 2024 at 11:59 pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Friday, Jan 2, 2026 at 11:59 pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description Assistant Researcher- Wu Lab The Department of Pharmaceutical Chemistry is no... more details
Application Window
Open date: July 2, 2024
Next review date:Wednesday, Jul 17, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Friday, Jan 2, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Assistant Researcher- Wu Lab
The Department of Pharmaceutical Chemistry is now recruiting an Assistant Researcher. The job duties include:
Lead a research team investigating complex disease mechanisms.
Contribute high-quality data for research grants, manuscripts, and scientific presentations.
Mentor graduate students, post-doctorate fellows, and junior staff and provide guidance on study design, data analysis, and innovative methodologies.
Oversee project progress, coordinate partner efforts, and report outcomes to leadership and funding agencies.
Assists identify new funding opportunities, coordinate submission of new project proposals and preparation of manuscripts.
Cultivate relationships with academic, industry, and funding partners.
This position requires a scientist qualified for independent research at the level of principal investigator and is for the job classification of Professional Researcher. It is not a faculty research position.
Required Qualifications:
Ph.D. with emphasis in medical sciences, cell biology, neurodegeneration, or related field and a minimum of 5 + years of industry and/or academic experience
A thorough understanding of the drug discovery process, including target identification & validation, assay and drug screen development.
The candidate should have strong practical experience establishing high throughput microscopy-based screening assays with extensive experience using integrated lab automation systems.
Technical proficiency in standard cellular and molecular biology techniques including culturing of cancer, primary and iPSC derived cells.
Proficiency in planning, preparing and analyzing various OMICs technologies (transcriptomics, proteomics metabolomics) to develop hypothesis and identify novel targets.
Experience in iPSC differentiation workflows.
Experience in CRISPR technologies, including arrayed knockdown, overexpression and optical pooled screening technologies.
Proficiency analyzing large microscopy, video and tabular datasets using Python or R with working knowledge of machine learning and deep learning approaches.
Excellent problem-solving ability, drive for results, and a strong sense of urgency are critical.
Exceptional written and verbal communication skills, and ability to work within a multidisciplinary team.
Strong leadership ability to foster a science-driven, goal-oriented culture that values innovation, teamwork, and accountability with experience managing collaborative projects among multiple laboratories.
Experience writing research proposals, progress updates and peer-reviewed manuscripts for publication.
Preferred Qualifications:
Track record of independent research
Completion of post-doctoral fellowship
Please apply online at https://aprecruit.ucsf.edu/JPF05149, with a CV, cover letter, and three contacts.
See Table 13B for the salary range for this position. A reasonable estimate for this position is $90,200-$117,900.
Application Requirements
Document requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Misc / Additional (Optional)
Reference requirements
3 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.